## R version 4.3.2 (2023-10-31)
## Platform: aarch64-apple-darwin20 (64-bit)
## Running under: macOS Sonoma 14.5
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRblas.0.dylib 
## LAPACK: /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.11.0
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## time zone: Europe/Paris
## tzcode source: internal
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] meta_7.0-0    metadat_1.2-0
## 
## loaded via a namespace (and not attached):
##  [1] Matrix_1.6-5        jsonlite_1.8.8      dplyr_1.1.4        
##  [4] compiler_4.3.2      Rcpp_1.0.12         tidyselect_1.2.1   
##  [7] xml2_1.3.6          stringr_1.5.1       metafor_4.6-0      
## [10] jquerylib_0.1.4     splines_4.3.2       boot_1.3-30        
## [13] yaml_2.3.8          fastmap_1.2.0       lattice_0.22-6     
## [16] readr_2.1.5         R6_2.5.1            generics_0.1.3     
## [19] knitr_1.45          MASS_7.3-60         tibble_3.2.1       
## [22] nloptr_2.0.3        minqa_1.2.6         tzdb_0.4.0         
## [25] bslib_0.7.0         pillar_1.9.0        rlang_1.1.3        
## [28] utf8_1.2.4          stringi_1.8.4       cachem_1.0.8       
## [31] mathjaxr_1.6-0      xfun_0.44           sass_0.4.9         
## [34] cli_3.6.2           magrittr_2.0.3      digest_0.6.35      
## [37] grid_4.3.2          rstudioapi_0.16.0   hms_1.1.3          
## [40] lme4_1.1-35.3       lifecycle_1.0.4     CompQuadForm_1.4.3 
## [43] nlme_3.1-164        vctrs_0.6.5         evaluate_0.23      
## [46] glue_1.7.0          numDeriv_2016.8-1.1 fansi_1.0.6        
## [49] purrr_1.0.2         rmarkdown_2.26      tools_4.3.2        
## [52] pkgconfig_2.0.3     htmltools_0.5.8.1

load data

Low risk of bias Only studies graded “Low” using the RoB-2 tool

Subgroup by risk of bias

## Warning: 1 study with NAs omitted from model fitting.
## Warning: Some yi/vi values are NA.